Classification effect determination method and device, intelligent terminal and storage medium
A technology for determining methods and classification results, applied in the computer field, can solve the problems of good classification effect of classification models, and achieve the effect of improving objectivity and accuracy
Pending Publication Date: 2019-08-16
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
However, due to the limitations of the sample data, training data, and algorithms used, the classification effect of the classification model may be good or poor; how to determine the classification effect of the classification model is a problem to be solved
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[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.
[0025] see figure 1 , figure 1 It is a schematic flowchart of a classification task provided by an embodiment of the present invention. Such as figure 1 As shown, the smart terminal first uses the training set to train the classification model to obtain the trained classification model; then uses the classification model to test the test set to obtain the classification result; then evaluates the classification effect of the classification model according to the classification result, Obtain the classification effect index value of the classification model. Further, the smart terminal adjusts the training set, the classification model, and the test set according to the classification effect index value of the classification model obtained through evaluation, that is, the fe...
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The embodiment of the invention provides a classification effect determination method and device and an intelligent terminal, and the method comprises the steps: carrying out the processing of a classification test set through employing a classification model, obtaining a classification result, and enabling the classification result to be used for indicating a prediction category which is output after each test subset in the classification test set is identified by the classification model; obtaining a label category set for each test subset, and comparing the prediction category and the labelcategory of each test subset to obtain a comparison result; determining a classification effect index value of the classification model according to a comparison result; wherein the classification effect index value is obtained through calculation according to the first effect parameter, the second effect parameter, a first weight value determined for the first effect parameter and a second weight value determined for the second effect parameter, and the first effect parameter and the second effect parameter are determined according to a comparison result. Through the embodiment of the invention, the objectivity and accuracy of determining the classification effect of the classification model can be effectively improved.
Description
technical field [0001] The present invention relates to the field of computer technology, in particular to a classification effect determination method, device, intelligent terminal and storage medium. Background technique [0002] In the field of artificial intelligence (AI), machine learning is the core of artificial intelligence, and common applications in machine learning include classification applications. In classification applications, a large amount of sample data and various algorithms are usually used to generate a classification model, and then the generated classification model is used to complete the classification task. In order to improve the classification effect of the classification model, usually after the classification model is generated, a large amount of training data is used to train the classification model. However, due to the limitations of the sample data, training data, and algorithms used, the classification effect of the classification model ...
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CPCG06N20/10
Inventor 张雨豪陈新杰郑景耀刘洪
Owner TENCENT TECH (SHENZHEN) CO LTD